learning and connectivism in moocs

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Learning and Connectivism in MOOCs Stephen Downes Pereira, Colombia 11 September 2014 http://www.downes.ca/presentation/347

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In this presentation I examine the phenomenon of MOOCs as I see them, explaining how they result from and support an understanding of the world based in pattern recognition. The presentation is structured along the lines of the six major elements of the underlying literacies of network interaction. For audio and video please see http://www.downes.ca/presentation/347

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Page 1: Learning and Connectivism in MOOCs

Learning andConnectivism in MOOCs

Stephen Downes

Pereira, Colombia11 September 2014

http://www.downes.ca/presentation/347

Page 2: Learning and Connectivism in MOOCs

How I See the World

Page 3: Learning and Connectivism in MOOCs

How I See the WorldA connectivist perspective

The World- People, things,

ideas, concepts, all connected to each otherMy Brain

- Neurons and neural connections

Perception and Communication- The world speaks to me and I

speak to the world

Page 4: Learning and Connectivism in MOOCs

How I See the WorldThe MOOC

MOOC- A learning network

My Brain- Neurons and neural

connections

Perception and Communication

Page 5: Learning and Connectivism in MOOCs

How I See the WorldPerception and Communication

Image: http://devblogs.nvidia.com/parallelforall/cuda-spotlight-gpu-accelerated-deep-neural-networks/

Page 6: Learning and Connectivism in MOOCs

How I See the WorldThe Critical Literacies

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SyntaxNot just rules and grammar

Forms: archetypes? Platonic ideals?Rules: grammar = logical syntaxOperations: procedures, motor skillsPatterns: regularities, substitutivitySimilarities: Tversky properties, etc‐

Image: http://www.visualcomplexity.com/vc/blog/?author=1

Page 8: Learning and Connectivism in MOOCs

SyntaxLearning Theories: trying to find patterns in phenomena - Behaviourism – learning & practice

- Instructivism – learning from worked examples, testing

- Cognitivist – the importance of models and comprehension

- Constructivist – creating our own learning

Image: http://www.visualcomplexity.com/vc/blog/?author=1

Page 9: Learning and Connectivism in MOOCs

SyntaxNetworks and Connections in the World

- The way things are organized in the world is important

- A pile of sand is different from a sand castle

- We observe individual entities self-organizing

- These form complex networks from the brain to galaxies

Image: http://www.visualcomplexity.com/vc/blog/?p=1312

Page 10: Learning and Connectivism in MOOCs

SyntaxMassive / Open / Online / Course

- Massive – networks grow - Open – networks have no edges- Online – creates the first real

networks for learning- Courses – creating temporary

networks

Image: http://themoocexperience.wordpress.com/2013/03/08/being-social-in-a-mooc/

Page 11: Learning and Connectivism in MOOCs

SemanticsTheories of truth / meaning / purpose / goal

‐ Truth and belief: sense and reference ‐ Interpretation and models

(probability, logical space, frequency, wagering / strength) ‐ Learning theories: Hebbian, back‐

prop, Boltzmann ‐ Decisions: voting / consensus /

emergenceImage: https://darkjapanese.wordpress.com/tag/collocations/

Page 12: Learning and Connectivism in MOOCs

SemanticsA MOOC as a way of Seeing the World

Image: http://rathchakra.wordpress.com/

- The MOOC brings together many perspectives

- No one perspective is correct or true

- The whole is created by interaction

Page 13: Learning and Connectivism in MOOCs

SemanticsKnowledge is not Transmitted, it is Created

- Each piece contributes to the whole

- Each person sees the new from a certain perspective

- We feed back and forth

Page 14: Learning and Connectivism in MOOCs

SemanticsWhat We Learn Depends on How We Interact

- Autonomy – each individual decides for him or her self

- Diversity – each person has their own values and goals

- Openness – new members and new ideas are welcome

- Interactivity – we learn through communication

Page 15: Learning and Connectivism in MOOCs

Pragmatics

Use / actions / impact• Speech acts (J.L. Austin, Searle) assertives, directives,commissives, expressives, declarations (but also harmful acts,‐harassment, etc)• Interrogation (Heidegger) and presuppositionImage: http://ftp.tnt.uni-hannover.de/print/papers/view.php?ind=1&ord=month&mod=DESC

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Pragmatics

How to Do Things With MOOCs- Educate – model and demonstrate

processes and actions- Inform – tell stories, recount

experiences- Promote - Pass on an idea or a

way of life (memetics)- Recruit – find others to join

Page 17: Learning and Connectivism in MOOCs

Pragmatics

How to do things in MOOCs- Aggregate – listen to many

diverse sources- Remix – bring these different

perspective together- Repurpose – reform these new

ideas in your own way- Feed Forward – share your

perspectivesImage: http://www.lifeaftercoffee.com/2008/11/03/hello-iamthenode-and-im-here-to-make-you-vomit/

Page 18: Learning and Connectivism in MOOCs

Pragmatics

What a MOOC Does- Asks questions- Experiments- Explores- Discovers- Creates

Image: http://www.jiscinfonet.ac.uk/topics/moocs/

Page 19: Learning and Connectivism in MOOCs

ContextPlacement, environment

‐ explanation (Hanson, van Fraassen, Heidegger) ‐ meaning (Quine); tense ‐

range of possibilities ‐ vocabulary (Derrida);

ontologies, logical space ‐ Frames (Lakoff), worldviews

Image: http://www.visualcomplexity.com/VC/index.cfm?domain=Pattern%20Recognition

Page 20: Learning and Connectivism in MOOCs

ContextPossibilities for Learning on the Internet

- The internet created a location where networks could form

- Online communities already learning in self-organizing groups

- eg. OSS, Napster…

Page 21: Learning and Connectivism in MOOCs

ContextLearning in the Workplace

‐ the skills gap ‐ informal learning ‐ just-in-time learning (vs

just-in-case) ‐ learning as something we

support rather than provide

Image: http://www.goodpractice.com/blog/future-of-workplace-learning-in-2015/

Page 22: Learning and Connectivism in MOOCs

CognitionReasoning, inference and explanation

• description X ‐ (definite , allegory, metaphor)

• definition X is Y ‐ (ostensive, lexical, logical (necess. & suff conds), familyresemblance, identity, personal identity, etc

• argument X therefore Y ‐ inductive, ‐deductive, abductive, modal, probability (Bayesian), deontic (obligations), doxastic (belief), etc.)

• explanation X because of Y ‐ (causal, statistical, chaotic/emergent)Image: http://www.jfsowa.com/pubs/challenge

Page 23: Learning and Connectivism in MOOCs

CognitionThe Challenge of Learning Analytics

Image: http://horicky.blogspot.com/2013/01/optimization-in-r.html

‐ Analytics predict performance using neural network techniques (machine learning)- But this process requires ‘Big Data’ – with resulting privacy issues

Page 24: Learning and Connectivism in MOOCs

CognitionHow do we infer someone has learned?

- Traditional testing is a very poor sort of induction

- We identify good doctors, good food, good writers by recognizing them

- In a MOOC, achievement is demonstrated in open work, and recognized by peers

Page 25: Learning and Connectivism in MOOCs

ChangeGraphs / Drivers / Attractors / Forces

‐ relation and connection: I Ching, logical relation ‐ flow: Hegel historicity, ‐

directionality; McLuhan ‐ games, for example:

branch and tree, database ‐ scheduling events; ‐

activity theory / LaaNImage: http://www.motikon.com/2011/12/19/from-data-to-design/

Page 26: Learning and Connectivism in MOOCs

ChangeVarieties of Change

- Easy to think things will always be the same (vs the Tipping Point)

- Cycles and Arcs- The dialectic

Page 27: Learning and Connectivism in MOOCs

ChangeConsequences of Change

Image: http://www.provenmodels.com/18/four-laws-of-media/marshall-mcluhan/

- What do MOOCs and connectivism enhance?

- What do they reverse?- What thing from the past do

they retrieve and make new?- What current thing do

MOOCs make obsolete?

Page 28: Learning and Connectivism in MOOCs

ChangeDrivers and (Strange) Attractors

Image: http://chaoticatmospheres.deviantart.com/art/Strange-Attractors-The-Dadras-Attractor-376066266

- We think of the future in terms of today’s imperatives: jobs, money, security

- But what is important to us today may not always be

- There’s no way to predict but we can imagine what will matter…

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How I See the World

Page 30: Learning and Connectivism in MOOCs

How I See the World

Page 31: Learning and Connectivism in MOOCs

Stephen Downeshttp://www.downes.ca